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- Tasks: Design and engineer AI-driven systems that solve real-world business challenges.
- Company: High-growth FinTech company focused on innovative, data-driven products.
- Benefits: Flexible hybrid work, competitive salary, 25 days holiday, and equity options.
- Why this job: Join a dynamic team and make a tangible impact with cutting-edge AI technology.
- Qualifications: 5+ years in software engineering, experience with AI applications preferred.
- Other info: Inclusive culture that values diverse perspectives and promotes work-life balance.
The predicted salary is between 36000 - 60000 £ per year.
A high-growth, FinTech company is building intelligent, data-driven products to support businesses and consumers at scale across the UK and US. The organisation operates cloud-native platforms used by a large and diverse customer base and is continuing to invest heavily in AI-enabled capabilities across its core products.
This role sits within a product-led engineering team focused on applying AI and Generative AI to real-world business problems. You will work on large-scale systems where impact is measured by outcomes, not output.
You will:
- Design and engineer large-scale, production-grade systems (5+ years' experience)
- Focus on business impact rather than lines of code
- Embrace DevOps culture: you build it, you run it
- Work effectively in cross-functional, autonomous teams
- Mentor other engineers and help raise the bar across the team
- Prefer simple, pragmatic solutions over unnecessary complexity
- Stay effective and organised in fast-moving, ambiguous environments
- Think broadly about how technical decisions affect the wider business
- Leverage Generative AI tools to improve productivity and decision-making
Nice-to-Have Skills:
- Experience building AI or LLM-powered applications
- Knowledge of NLP or intelligent document processing
- Familiarity with vector databases (e.g. Pinecone, Weaviate)
- Experience with search platforms (e.g. OpenSearch, Elasticsearch)
- Exposure to agentic workflows or orchestration frameworks
- Awareness of MCP (Model Context Protocol)
The team is pragmatic and cloud-native. Current tooling includes:
- Languages: Python, TypeScript
- Testing: Jest, React Testing Library, Cypress, pytest
- Cloud: AWS, GCP
- Infrastructure: Docker, ECS Fargate, Terraform
- CI/CD: GitHub Actions
Collaborate: Pair programming and mission-driven squads
Outcome-focused: Solve real user problems tied to business results
Continuously improve: Fast feedback, learning-first mindset
User-centric: Decisions driven by data and direct user insight
Test-first: Outside-in testing with behaviour-focused scenarios
End-to-end ownership: Lead features from idea to production
Cloud-native: Automation-first, security by design
You will be part of an inclusive engineering culture that values:
- Diverse perspectives and open discussion
- Psychological safety and trust
- Teams that are engaged, motivated, and genuinely enjoy working together
What's on Offer:
- Hybrid working: Flexible, trust-based approach with optional in-person collaboration
- Work–life balance: 25 days holiday + bank holidays, enhanced family leave
- Compensation: Competitive salary plus equity
- Equipment: High-spec laptop (macOS or Ubuntu)
- Socials: Regular team and company events
- Benefits: Cycle-to-work scheme and EV support
Software Engineer - AI in London employer: Atarus
Contact Detail:
Atarus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI or large-scale systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, it’s not just about coding; be ready to discuss how your work impacts the business!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our company. Don’t hesitate to follow up after applying to show your enthusiasm!
We think you need these skills to ace Software Engineer - AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Software Engineer - AI role. Highlight your experience with AI, cloud-native platforms, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Share why you're excited about working with AI in a FinTech environment and how your background makes you a great fit. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any AI or LLM-powered applications, make sure to mention them! Include links to your GitHub or any live demos if possible. We love seeing practical examples of your work and how you approach problem-solving.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Atarus
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and Generative AI. Be ready to discuss how you've applied these technologies in real-world scenarios, especially in large-scale systems. The more specific examples you can provide, the better!
✨Embrace the DevOps Mindset
Since this role emphasises a DevOps culture, be prepared to talk about your experience with building and running systems. Share instances where you've taken ownership of a project from start to finish, highlighting your ability to work in cross-functional teams.
✨Simplicity is Key
The company values simple, pragmatic solutions over unnecessary complexity. Think about past projects where you opted for straightforward approaches and be ready to explain your thought process. This will show that you align with their values.
✨Show Your Collaborative Spirit
This role involves mentoring and working closely with others. Prepare to discuss how you've supported your teammates in the past, whether through pair programming or sharing knowledge. Highlighting your collaborative nature will resonate well with their inclusive culture.